# -*- coding: utf-8 -*-
from datetime import timedelta
# 引入依赖
from jms.dm.dm_network_end_dispatch_diff_detail import dm__dm_network_end_dispatch_diff_detail
from jms.dim.ide.dim_ide_tab_end_brand_info_base import jms_dim__dim_ide_tab_end_brand_info_base
from utils.operators.cluster_for_spark_sql_operator import SparkSqlOperator
jms_dm__dm_self_support_post_station_screen_day_dt = SparkSqlOperator(
    task_id='jms_dm__dm_self_support_post_station_screen_day_dt',
    email=['houwenlong@jtexpress.com','yl_bigdata@yl-scm.com'],
    depends_on_past=True,
    pool_slots=3,
    master='yarn',
    name='jms_dm__dm_self_support_post_station_screen_day_dt_{{ execution_date | date_add(1) | cst_ds }}',
    sql='jms/dm/dm_self_support_post_station_screen_day_dt/execute.hql',
    driver_memory='1G' , 
    executor_memory='1G' , 
    executor_cores=2 , 
    num_executors=2 , 
    yarn_queue='pro',
    conf={'spark.dynamicAllocation.enabled': 'true',  # 动态资源开启
          'spark.shuffle.service.enabled': 'true',  # 动态资源 Shuffle 服务开启
        'spark.dynamicAllocation.maxExecutors'             : 2 , 
          'spark.dynamicAllocation.cachedExecutorIdleTimeout': 60,  # 动态资源自动释放闲置 Executor 的超时时间(s)
          'spark.sql.sources.partitionOverwriteMode': 'dynamic',  # 允许删改已存在的分区
        'spark.executor.memoryOverhead'             : '2G' , 
          },
    execution_timeout=timedelta(minutes=60),
)

jms_dm__dm_self_support_post_station_screen_day_dt << [
    dm__dm_network_end_dispatch_diff_detail,
    jms_dim__dim_ide_tab_end_brand_info_base
                                   ]
